matrix factorizations; inner product spaces; orthogonal projections and orthonormal bases; singular value decomposition; positive operators. Further advanced topics may be covered if time allows.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

This book is aimed at graduate students and researchers who are interested in the probability limit theory of random matrices and random partitions. It mainly consists of three parts. Part I is a ...

Academic Advising and Transition into the College of Engineering Students ... Students whose math placement is College Algebra—excluding those in Construction Management—are strongly encouraged to ...

Explore a wide range of recent research in mathematics. From mathematical modeling to why some people have difficulty learning math, read all the math-related news here.

The study of spin systems in the large N limit began with the paper of Stanley [1], who studied the N vector model using saddle point techniques. The leading order behaviour matches with the result of ...